LENOVO 83HN
Geekbench AI Score
1616
Single Precision Score
731
Half Precision Score
3461
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rhalmatari |
| Upload Date | April 08 2025 11:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1005
186.9 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (Q)
|
99% |
3706
691.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1737
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3699
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3067
3.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
14460
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1072
85.1 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
86% |
3680
295.8 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
97% |
4479
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3701
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1204
9.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
5836
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7911
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7643
9.82 IPS |
|
|
Style Transfer (Q)
|
98% |
18991
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1605
59.4 IPS |
|
|
Text Classification (SP)
|
100% |
652
869.7 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.1 IPS |
|
|
Text Classification (Q)
|
97% |
632
846.5 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (Q)
|
65% |
1432
28.8 IPS |
